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Rationalizing Neural Predictions

13 June 2016

Papers citing "Rationalizing Neural Predictions"

50 / 327 papers shown

Title
Interpreting BERT-based Text Similarity via Activation and Saliency Maps Itzik Malkiel Dvir Ginzburg Oren Barkan Avi Caciularu Jonathan Weill Noam Koenigstein 81 21 0 13 Aug 2022
An Interpretability Evaluation Benchmark for Pre-trained Language Models Ya-Ming Shen Lijie Wang Ying-Cong Chen Xinyan Xiao Jing Liu Hua Wu 81 4 0 28 Jul 2022
Human-Centric Research for NLP: Towards a Definition and Guiding Questions Bhushan Kotnis Kiril Gashteovski J. Gastinger G. Serra Francesco Alesiani T. Sztyler Ammar Shaker Na Gong Carolin (Haas) Lawrence Zhao Xu 78 9 0 10 Jul 2022
Mediators: Conversational Agents Explaining NLP Model Behavior Nils Feldhus A. Ravichandran Sebastian Möller 112 16 0 13 Jun 2022
Leveraging Causal Inference for Explainable Automatic Program Repair Jianzong Wang Shijing Si Z. Zhu Xiaoyang Qu Zhenhou Hong Jing Xiao 105 4 0 26 May 2022
Investigating the Benefits of Free-Form Rationales Jiao Sun Swabha Swayamdipta Jonathan May Xuezhe Ma 90 15 0 25 May 2022
Learning to Ignore Adversarial Attacks Yiming Zhang Yan Zhou Samuel Carton Chenhao Tan 104 2 0 23 May 2022
KOLD: Korean Offensive Language Dataset Young-kuk Jeong Juhyun Oh Jaimeen Ahn Jongwon Lee Jihyung Mon Sungjoon Park Alice Oh 113 30 0 23 May 2022
A Fine-grained Interpretability Evaluation Benchmark for Neural NLP Lijie Wang Yaozong Shen Shu-ping Peng Shuai Zhang Xinyan Xiao Hao Liu Hongxuan Tang Ying-Cong Chen Hua Wu Haifeng Wang ELM 104 22 0 23 May 2022
Interlock-Free Multi-Aspect Rationalization for Text Classification Shuang Li Diego Antognini Boi Faltings 69 1 0 13 May 2022
ExSum: From Local Explanations to Model Understanding Yilun Zhou Marco Tulio Ribeiro J. Shah FAtt LRM 93 25 0 30 Apr 2022
Learning to Split for Automatic Bias Detection Yujia Bao Regina Barzilay 67 21 0 28 Apr 2022
Can Rationalization Improve Robustness? Howard Chen Jacqueline He Karthik Narasimhan Danqi Chen AAML 108 42 0 25 Apr 2022
Human-AI Collaboration via Conditional Delegation: A Case Study of Content Moderation Vivian Lai Samuel Carton Rajat Bhatnagar Vera Liao Yunfeng Zhang Chenhao Tan 107 137 0 25 Apr 2022
Learning to Scaffold: Optimizing Model Explanations for Teaching Patrick Fernandes Marcos Vinícius Treviso Danish Pruthi André F. T. Martins Graham Neubig FAtt 98 22 0 22 Apr 2022
A survey on improving NLP models with human explanations Mareike Hartmann Daniel Sonntag LRM 103 22 0 19 Apr 2022
Monte Carlo Tree Search for Interpreting Stress in Natural Language Kyle Swanson Joy Hsu Mirac Suzgun 18 0 0 17 Apr 2022
A Review on Language Models as Knowledge Bases Badr AlKhamissi Millicent Li Asli Celikyilmaz Mona T. Diab Marjan Ghazvininejad KELM 107 187 0 12 Apr 2022
ProtoTEx: Explaining Model Decisions with Prototype Tensors Anubrata Das Chitrank Gupta Venelin Kovatchev Matthew Lease Junjie Li 93 29 0 11 Apr 2022
VFDS: Variational Foresight Dynamic Selection in Bayesian Neural Networks for Efficient Human Activity Recognition Randy Ardywibowo Shahin Boluki Zhangyang Wang Bobak J. Mortazavi Shuai Huang Xiaoning Qian 45 2 0 31 Mar 2022
Towards Explainable Evaluation Metrics for Natural Language Generation Christoph Leiter Piyawat Lertvittayakumjorn M. Fomicheva Wei Zhao Yang Gao Steffen Eger AAML ELM 76 20 0 21 Mar 2022
Learning to Reason Deductively: Math Word Problem Solving as Complex Relation Extraction Zhanming Jie Jierui Li Wei Lu ReLM AIMat 72 76 0 19 Mar 2022
Are Shortest Rationales the Best Explanations for Human Understanding? Hua Shen Tongshuang Wu Wenbo Guo Ting-Hao 'Kenneth' Huang FAtt 79 11 0 16 Mar 2022
Neuro-symbolic Natural Logic with Introspective Revision for Natural Language Inference Yufei Feng Xiaoyu Yang Xiao-Dan Zhu Michael A. Greenspan LRM NAI 151 11 0 09 Mar 2022
Controlling the Focus of Pretrained Language Generation Models Jiabao Ji Yoon Kim James R. Glass Tianxing He 121 5 0 02 Mar 2022
An Empirical Study on Explanations in Out-of-Domain Settings G. Chrysostomou Nikolaos Aletras LRM 71 28 0 28 Feb 2022
Investigating Explainability of Generative AI for Code through Scenario-based Design Jiao Sun Q. V. Liao Michael J. Muller Mayank Agarwal Stephanie Houde Kartik Talamadupula Justin D. Weisz 86 165 0 10 Feb 2022
Human Interpretation of Saliency-based Explanation Over Text Hendrik Schuff Alon Jacovi Heike Adel Yoav Goldberg Ngoc Thang Vu MILM XAI FAtt 207 41 0 27 Jan 2022
Diagnosing AI Explanation Methods with Folk Concepts of Behavior Alon Jacovi Jasmijn Bastings Sebastian Gehrmann Yoav Goldberg Katja Filippova 141 17 0 27 Jan 2022
Unifying Model Explainability and Robustness for Joint Text Classification and Rationale Extraction Dongfang Li Baotian Hu Qingcai Chen Tujie Xu Jingcong Tao Yunan Zhang 80 12 0 20 Dec 2021
UNIREX: A Unified Learning Framework for Language Model Rationale Extraction Aaron Chan Maziar Sanjabi Lambert Mathias L Tan Shaoliang Nie Xiaochang Peng Xiang Ren Hamed Firooz 110 44 0 16 Dec 2021
Reframing Human-AI Collaboration for Generating Free-Text Explanations Sarah Wiegreffe Jack Hessel Swabha Swayamdipta Mark O. Riedl Yejin Choi 77 149 0 16 Dec 2021
MultiVerS: Improving scientific claim verification with weak supervision and full-document context David Wadden Bertie Vidgen Lucy Lu Wang Dirk Hovy J. Pierrehumbert Hannaneh Hajishirzi 116 164 0 02 Dec 2021
What to Learn, and How: Toward Effective Learning from Rationales Samuel Carton Surya Kanoria Chenhao Tan 135 25 0 30 Nov 2021
Towards Interpretable and Reliable Reading Comprehension: A Pipeline Model with Unanswerability Prediction Kosuke Nishida Kyosuke Nishida Itsumi Saito Sen Yoshida 80 7 0 17 Nov 2021
Few-Shot Self-Rationalization with Natural Language Prompts Ana Marasović Iz Beltagy Doug Downey Matthew E. Peters LRM 93 110 0 16 Nov 2021
Leveraging Recursive Gumbel-Max Trick for Approximate Inference in Combinatorial Spaces Kirill Struminsky Artyom Gadetsky D. Rakitin Danil Karpushkin Dmitry Vetrov BDL 113 9 0 28 Oct 2021
Understanding Interlocking Dynamics of Cooperative Rationalization Mo Yu Yang Zhang Shiyu Chang Tommi Jaakkola 94 44 0 26 Oct 2021
Interpreting Deep Learning Models in Natural Language Processing: A Review Xiaofei Sun Diyi Yang Xiaoya Li Tianwei Zhang Yuxian Meng Han Qiu Guoyin Wang Eduard H. Hovy Jiwei Li 99 47 0 20 Oct 2021
Making Document-Level Information Extraction Right for the Right Reasons Liyan Tang Dhruv Rajan S. Mohan Abhijeet Pradhan R. Bryan Greg Durrett 39 1 0 14 Oct 2021
Practical Benefits of Feature Feedback Under Distribution Shift Anurag Katakkar Clay H. Yoo Weiqin Wang Zachary Chase Lipton Divyansh Kaushik 82 5 0 14 Oct 2021
The Irrationality of Neural Rationale Models Yiming Zheng Serena Booth J. Shah Yilun Zhou 120 17 0 14 Oct 2021
Solving Aspect Category Sentiment Analysis as a Text Generation Task Jian Liu Zhiyang Teng Leyang Cui Hanmeng Liu Yue Zhang 133 73 0 14 Oct 2021
A Framework for Rationale Extraction for Deep QA models Sahana Ramnath Preksha Nema Deep Sahni Mitesh M. Khapra AAML FAtt 53 0 0 09 Oct 2021
The Eval4NLP Shared Task on Explainable Quality Estimation: Overview and Results M. Fomicheva Piyawat Lertvittayakumjorn Wei Zhao Steffen Eger Yang Gao ELM 97 41 0 08 Oct 2021
Instance-Based Neural Dependency Parsing Hiroki Ouchi Jun Suzuki Sosuke Kobayashi Sho Yokoi Tatsuki Kuribayashi Masashi Yoshikawa Kentaro Inui 71 3 0 28 Sep 2021
Weakly Supervised Explainable Phrasal Reasoning with Neural Fuzzy Logic Zijun Wu Zi Xuan Zhang Atharva Naik Zhijian Mei Mauajama Firdaus Lili Mou LRM NAI 81 14 0 18 Sep 2021
Does External Knowledge Help Explainable Natural Language Inference? Automatic Evaluation vs. Human Ratings Hendrik Schuff Hsiu-yu Yang Heike Adel Ngoc Thang Vu ELM ReLM LRM 65 13 0 16 Sep 2021
FaxPlainAC: A Fact-Checking Tool Based on EXPLAINable Models with HumAn Correction in the Loop Zijian Zhang Koustav Rudra Avishek Anand KELM 70 13 0 12 Sep 2021
Logic Traps in Evaluating Attribution Scores Yiming Ju Yuanzhe Zhang Zhao Yang Zhongtao Jiang Kang Liu Jun Zhao XAI FAtt 122 19 0 12 Sep 2021